azure data engineer

assistant engineer

data engineer

head of engineering

service engineer

cloud engineer

Qureos

As a DevOps Engineer, you will be responsible for designing, implementing, and maintaining the infrastructure that supports our applications and services. You will work closely with development, QA, and IT teams to automate and streamline our operations, monitor system performance, and ensure the reliability of our deployments. Key Responsibilities:  <ul><li>Infrastructure Management:<ul><li>Design, deploy, and manage cloud infrastructure on Google Cloud Platform (GCP).</li><li>Implement and maintain scalable container orchestration using Docker.</li></ul></li><li>CI/CD Pipeline:<ul><li>Develop and maintain continuous integration/continuous deployment (CI/CD) pipelines to automate testing, building, and deployment processes through github and google cloud run.</li><li>Collaborate with development teams to integrate new features into the CI/CD process.</li></ul></li><li>Monitoring &amp; Logging:<ul><li>Set up and manage monitoring, logging, and alerting systems using tools like Elasticsearch, Kibana, Prometheus, and New Relic.</li><li>Ensure system reliability, performance, and availability through proactive monitoring and incident response.</li></ul></li><li>Database Management:<ul><li>Administer and optimize MongoDB instances, ensuring data integrity, performance, and security.</li><li>Implement backup, recovery, and disaster recovery strategies for MongoDB and other databases.</li></ul></li><li>Security &amp; Compliance:<ul><li>Implement security best practices across infrastructure, applications, and data.</li><li>Ensure compliance with industry standards and internal policies.</li></ul></li><li>Automation &amp; Scripting:<ul><li>Automate infrastructure provisioning, configuration management, and system operations using GCP Services.</li><li>Develop custom scripts as needed to enhance automation and operational efficiency.</li></ul></li><li>Collaboration &amp; Support:<ul><li>Work closely with development and QA teams to support the software development lifecycle.</li><li>Provide technical guidance and support to resolve infrastructure-related issues.</li></ul></li></ul> Qualifications:  <ul><li>Education: Bachelor's degree in Computer Science, Engineering, or related field (or equivalent experience).</li><li>Experience:<ul><li>5+ years of experience as a DevOps Engineer or in a similar role.</li><li>Strong experience with Docker, including container orchestration using Kubernetes.</li><li>Hands-on experience with Google Cloud Platform (GCP) services, including Compute Engine, Cloud Storage, Cloud Run, and GKE.</li><li>Experience with Elasticsearch for monitoring, logging, and search.</li><li>Proficiency in administering and optimizing MongoDB databases.</li></ul></li><li>Skills:<ul><li>Strong scripting skills in Python, Bash, or similar languages.</li><li>Proficiency in infrastructure as code tools like Terraform or Ansible.</li><li>Experience with CI/CD tools such as Github CI, or CircleCI.</li><li>Excellent problem-solving and troubleshooting skills.</li><li>Strong communication skills and ability to work collaboratively across teams.</li></ul></li><li>Nice to have:<ul><li>Experience with additional cloud platforms (e.g., AWS, Azure).</li><li>Familiarity with Agile/Scrum methodologies.</li><li>Certifications in Docker, GCP, or related technologies.</li></ul></li></ul>

Devops Engineer

HugoBank

<div>We are looking for a skilled Mid-level DevOps Engineer to join our Infrastructure team. This role is pivotal in managing and optimizing our AWS cloud environment, ensuring adherence to security and compliance standards, particularly PCI DSS. The successful candidate will bring hands-on expertise in cloud EKS, networking, security, automation, and container orchestration, with a strong understanding of microservice architecture. Working closely with various teams, you will contribute to the design, deployment, and maintenance of a secure and efficient cloud infrastructure that meets the demands of a modern banking environment.
Core Responsibilities:<ul>
<li>
Design, implement, and manage AWS network infrastructure, including VPCs, subnets, routing, security groups, and NACLs.</li>
<li>Integrate and manage firewall solutions (Fortinet/Palo Alto) within cloud and hybrid environments.</li>
<li>Configure and maintain DNS, load balancing, API Gateway, and CloudFront services to support application delivery.</li>
<li>Implement compliance controls related to PCI DSS and other regulatory requirements based on established policies.</li>
<li>Develop and maintain CI/CD pipelines using GitHub Actions and manage infrastructure as code through tools such as Terraform and Pulumi.</li>
<li>Collaborate with security, compliance, and product teams to ensure thorough documentation and adherence to banking regulations.</li>
<li>Provide support during business hours and participate in on-call rotation as required.</li>
<li>Monitor cloud environments for performance, availability, security, and cost efficiency, utilising monitoring tools such as Grafana.</li>
<li>Support containerised application deployments using Kubernetes and EKS, aligning with microservice architecture principles.</li>
<li>Manage identity and access management policies to enforce secure access across AWS resources.</li>
</ul>
Requirements<ul>
<li>
Bachelor's degree in Information Technology, Computer Science, or a related field.</li>
<li>Experience with Kubernetes/EKS and microservice-based application deployment is highly desirable.</li>
<li>A minimum of 3 years of experience in a similar role, preferably within the financial sector.</li>
<li>Proven experience with AWS cloud services, focusing on operational excellence, networking and security.</li>
<li>Familiarity with firewall technologies and cloud security integrations.</li>
<li>Hands-on experience in building and maintaining CI/CD pipelines and infrastructure as code.</li>
Knowledge of PCI DSS compliance requirements and their implementation in cloud environments. 
<li>
</li></ul>Preferred Certifications: 
<ul>
<li>
AWS Solutions Architect (Associate or Professional)</li>
<li>AWS Security Specialty</li>
<li>Kubernetes certifications (CKA, CKAD)</li>
<li>Networking/Security certifications (CCNA, Fortinet NSE)</li></ul></div>

DevOps Engineer - (MGR)

Simpaisa Payment Gateway

Tapmad is looking for a Senior DevOps Engineer, who plays a crucial role in bridging the gap between development and operation team. The ideal candidate will have a strong background in both software development and IT operations, along with expertise in automation, continuous integration, and continuous delivery.RESPONSIBILITIES:<ul><li>Manage services deployed on AWS Elastic Beanstalk.</li><li>Manage CI/CD pipelines build on AWS developer tools and Jenkins.</li><li>Maintain and Monitoring AWS Services on CloudWatch and monitoring tools.</li><li>Maintain security policies and network documentation.</li><li>Write and maintain custom scripts to automate and increase system efficiency.</li><li>To manage and monitor all installed systems and cloud infrastructure.</li><li>Install, configure, and maintain Linux operating systems, opensource software and system management tools.</li><li>Troubleshoot issues in case of any crash in staging environments.</li><li>Assist Development team in day-to-day tasks that required infrastructure operations.</li></ul>QUALIFICATION:<ul><li>Bachelor's degree in Computer Science, Engineering.</li><li>6+ years of Experience in relevant field.</li><li>4+ years of experience in Linux administration and troubleshooting is required.</li><li>4+ years of experience in administering firewall, router and switches is required.</li><li>3+ Cloud experience, preferably in AWS is highly desirable.</li><li>Experience with a network monitoring system such as PRTG or Cacti or Zabbix.</li></ul>Job Type: Full-timeApplication Question(s):<ul><li>Current &amp; Expected Salary</li></ul>Education:<ul><li>Bachelor's (Required)</li></ul>Experience:<ul><li>Linux administration and troubleshooting: 3 years (Required)</li><li>administering firewall, router and switches: 3 years (Required)</li><li>DevOps: 3 years (Required)</li></ul>Work Location: In person

Senior DevOps Engineer

Confiz

<div>Confiz is looking for Principal Software Engineer with 5+ years of experience in delivering quality software.You must have strong expertise in the domain and must be able to deliver well accordingly to the responsibilities. The canddiate should be willing to work from 2PM to 11PM PKT.
Responsibilities
<ul><li>Responsible for feature design; evaluate designs and provide feedback</li>
<li>Influence quality standards and understand, identify, measure across entire solution</li>
<li>Identify performance issues and optimize solutions</li>
<li>Demonstrate competence of engineering concepts and theories, combining them with business understanding to design, document and implement clean and robust solutions to complex business problems</li>
<li>Collaborate with other engineering teams, business stakeholders, as well as program and product managers to define and implement technical solutions</li>
<li>Demonstrate an ability to turn business needs into functional requirements, while also explaining technical details in ways the business can understand.</li>
<li>Participate in defining, scoping, and estimating resulting stories</li>
<li>Work closely with your peers and help the team achieve its goals</li>
<li>Maintain a high bar for code quality, testing and automation while finding opportunities to continuously improve them</li>
<li>Drive design and code reviews, ensuring the team ships high quality, scalable, maintainable, and well-tested code</li>
<li>Maintain a DevOps mindset, promoting cloud-oriented solutions while implementing and supporting monitoring, alerting, CI/CD pipelines as well as the team's Cloud infrastructure</li>
</ul>
Requirements:
<ul><li>5+ years of professional experience in delivering quality software, ideally across the full stack</li>
<li>Excellent proficiency in an Object-Oriented language, such as Java</li>
<li>Proficient with Java, Java Spring Boot Framework, Containerization(K8s/Docker)</li>
<li>Test automation experience at all levels (Unit, Integration, Regression, Load)</li>
<li>Familiarity with modern infrastructure tools and pipelines (Gitlab CI/CD, Terraform)</li>
<li>Experience with RESTful architecture and micro services</li>
<li>Experience with system design, architecture, scaling, and performance testing. Experience building services a plus</li>
<li>Experience with Cloud technologies specially AWS</li>
<li>Experience with databases like postgres.</li>
<li>Experience with Cache based low latency system design</li>
<li>Familiarity with CI/CD and testing tools.</li>
<li>Strong understanding of computer science fundamentals</li>
<li>Familiarity with ops tools, logging, and metrics (New Relic, Splunk)</li>
<li>Experience with messaging technologies and patterns (Kafka/SQS)</li>
</ul>
We have a global team of amazing individuals working on highly innovative enterprise projects &amp; products. Our customer base includes Fortune 100 retail and CPG companies, leading store chains, fast growth fintech, and multiple Silicon Valley startups.
What makes Confiz stand out is our focus on processes and culture. Confiz is ISO 9001:2015 (QMS), ISO 27001:2022 (ISMS), ISO 20000-1:2018 (ITSM) and ISO 14001:2015 (EMS) Certified. We have a vibrant culture of learning via collaboration and making workplace fun.
People who work with us work with cutting-edge technologies while contributing success to the company as well as to themselves.
To know more about Confiz Limited, visit https://www.linkedin.com/company/confiz/</div>

SSE/PSE- Java

10Pearls

<div>Company Overview
10Pearls is an end-to-end digital technology services partner helping businesses utilize technology as a competitive advantage. We help our customers digitalize their existing business, build innovative new products, and augment their existing teams with high performance team members. Our broad expertise in product management, user experience/design, cloud architecture, software development, data insights and intelligence, cyber security, emerging tech, and quality assurance ensures that we are delivering solutions that address business needs. 10Pearls is proud to have a diverse clientele including large enterprises, SMBs and high growth startups. We work with clients across industries, including healthcare/life sciences, education, energy, communications/media, financial services, and hi-tech. Our many long-term, successful partnerships are built upon trust, integrity and successful delivery and execution.
Role
We are actively seeking DevOps Engineers to lead with experience in driving end-to-end client onboarding, excelling in infrastructure automation, and showcasing CI/CD expertise. Proficiency in Cloud Providers (AWS and GCP; Azure is a plus), Docker, Kubernetes, and scripting is a must for establishing secure, scalable, and efficient environments.
Responsibilities<ul><li>
Responsible for onboarding new clients and setting up their pipelines and infrastructure automation end to end</li><li>
Responsible for documentation of system configuration, processes and tools used by the team</li><li>
Ensure both release management and change management process are followed within production environments</li><li>
Have a thorough process methodology and ability to communicate with all stakeholders</li><li>
Work collaboratively with development engineering to create and deploy a CI/CD infrastructure through (GitHub Actions, Jenkins, Azure Pipelines, GitLab-CI or AWS Code Pipeline)</li><li>
Develop and implement environments for quality assurance, development, etc.</li><li>
Implement DevOps with Dev team on agile delivery mode</li><li>
Deploy and Support applications on AWS, GCP, and hybrid/on-prem environments</li><li>
Responsible for infrastructure security and making sure environments are secure, reliable and scalable</li><li>
Learning and gathering new technologies related to DevOps tools and present to the company to develop and grow the agile development environment</li><li>
Collaborating with developers to make sure the new environments are set up properly and ensure the best practices of DevOps are in place</li><li>
Designing, implementing and testing concurred upon frameworks</li><li>
Prioritizing requests from operations, development and product teams fairly while demonstrating a sense of empathy</li></ul>
Requirement<ul><li>
Bachelor's or Master's degree in Computer Science, Software Engineering, or a related field</li><li>
At least 4+ years of DevOps experience</li><li>
Strong documentation skills for system configuration, processes, and tools</li><li>
Experience with release management and change management processes in production environments</li><li>
Must have advanced level knowledge of at least two Cloud Providers (AWS and GCP required)</li><li>
Good hands-on experience managing production workloads in GCP, specifically on GKE, Compute Engine (GCE), Cloud SQL, Cloud Run, and other core GCP services</li><li>
Hands-on advanced-level experience with Docker, Kubernetes, Helm charts, and ArgoCD or similar GitOps technologies</li><li>
Proficiency in Infrastructure as Code (IaC) using Terraform (preferred) and/or AWS CloudFormation</li><li>
Advanced scripting skills in Bash, Python, PowerShell, and/or Ruby</li><li>
Hands-on experience in creating and deploying CI/CD infrastructure through tools like GitHub Actions, Jenkins, Azure Pipelines, GitLab-CI, or AWS Code Pipeline</li><li>
Advance level knowledge of web servers including Nginx and Apache</li><li>
Good understanding of DevOps and GitOps practices</li><li>
Experience with capacity planning processes supporting on-premises &amp; public cloud deployment models</li><li>
Experience in monitoring tools to track the health and performance of systems and applications like New Relic, DataDog, Cloud Monitoring, CloudWatch etc.</li><li>
Experience in implementing log collection, aggregation, and analysis solutions to troubleshoot issues and monitor system activity using Cloud Logging, CloudWatch, ELK, Prometheus etc</li><li>
Certification in AWS/Azure or GCP &ndash; professional level would be a plus</li><li>
Kubernetes certification (CKA) would be a plus</li><li>
Strong problem-solving and analytical skills</li><li>
Should be proficient in communications both verbally and written</li><li>
Ability to work effectively in a collaborative team environment</li></ul>
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Senior DevOps Consultant - AWS / GCP - Afternoon Shift

BGB Group

<div>BGB Group

Power Platforms Engineer

Our Agency

BGB Group is a healthcare communications agency that offers a wide range of services, including advertising, medical education, payer marketing, and consulting services. Known for excellence and professionalism, we're hired as strategic and creative partners by our biopharmaceutical clients to drive category/brand awareness and growth.

Position Overview

The Power Platforms Engineer will design and deploy enterprise-grade automation solutions that streamline workflows, enhance data connectivity, and integrate seamlessly across Microsoft 365, Power BI, and Fabric environments.

Key Responsibilities:
<ul>
<li>Develop End-to-End Cloud Flows: 
Build scalable, event-driven Power Automate flows that replace manual processes across Finance, HR, PMO, and Operations. 
Leverage connectors for SharePoint, Teams, Outlook, Power BI, Salesforce &amp; OpenAir to create integrated business automations.</li>
<li>Integrate with Data &amp; BI Systems: 
Develop Power Automate processes that interface directly with Power BI Datasets, executing DAX or SQL queries to extract
 
and route data-driven insights dynamically. 
Orchestrate validation and sync processes between Fabric Lakehouse data &amp; Power BI models.</li>
<li>RPA (Robotic Process Automation): 
Streamline legacy or browser-based operations with unattended bots and UI-based automation. 
Configure unattended bots and virtual agents for operational consistency and time savings.</li>
<li>Connectivity &amp; Governance: 
Build secure, governed connections using service principals, Azure AD app registrations, and API authentication. 
Develop audit logs, error-handling layers, and alert systems to track data and data integrity.</li>
<li>Monitoring &amp; Optimization: 
Track and optimize performance through the Power Platform Admin Center. 
Implement alerting, error handling, and retry logic to maintain reliability and SLA compliance.</li>
</ul>
Qualifications:
<ul>
<li>Advanced expertise in Power Automate Cloud Flows, Power Automate Desktop, and Microsoft.</li>
<li>Strong understanding of HTTP requests, JSON schema parsing, Azure Logic Apps, and REST API integration.</li>
<li>Ability to work with Power BI REST API, Fabric Lakehouse APIs, Graph API, and OData endpoints.</li>
<li>Experienced in governance, version control, and environment management within the Power Platform</li></ul></div>

Power Platforms Engineer

Rapid Labs

Senior Full Stack Machine Learning EngineerAbout Rapid LabsRapid Labs is a US based AI startup focused on building production ready, practical machine learning systems that solve real operational problems. We partner with businesses to design and deploy AI solutions that deliver measurable outcomes, not experiments or hype driven prototypes.Our culture values ownership, engineering excellence, and clear thinking. We work in fast moving, ambiguous environments where strong fundamentals and real world execution matter more than buzzwords.About the RoleWe are hiring a Senior Full Stack Machine Learning Engineer to own the design, development, and operation of production grade machine learning systems. This role is centered on applied and classical machine learning, not LLM only or prompt driven workflows.You will work close to the problem space, translating messy operational and business challenges into reliable ML systems that run in production. This is a hands on role for engineers who enjoy building, deploying, and improving real systems in the cloud and taking responsibility for outcomes.What You Will DoBuild and Own End to End ML Systems<ul><li>Own the full machine learning lifecycle from raw data to deployed, monitored, and continuously improving models</li><li>Design predictive, prescriptive, and optimization solutions for use cases such as manufacturing operations, predictive maintenance, quality analytics, and supply chain efficiency</li><li>Apply classical ML and statistical methods including time series forecasting, anomaly detection, regression, classification, clustering, probabilistic modeling, and optimization</li></ul>Engineer Strong Data and Feature Pipelines<ul><li>Build reliable ETL and ELT pipelines for batch and near real time ML workloads</li><li>Perform exploratory data analysis to understand data quality, distributions, bias, and signal</li><li>Design feature pipelines and feature stores that keep training and inference consistent</li><li>Integrate data from APIs, databases, and event streams with strong validation, schema control, and observability</li></ul>Ship and Operate Production ML<ul><li>Deploy models as scalable services using APIs, batch jobs, or streaming inference</li><li>Implement monitoring for model performance, drift, data quality, and system health</li><li>Work closely with platform and software teams to deliver secure, reliable, and cost efficient systems</li><li>Help define and enforce MLOps standards including CI CD, versioning, reproducibility, and rollback strategies</li></ul>Lead Technically and Collaborate Effectively<ul><li>Turn ambiguous business problems into clear ML problem statements, success metrics, and delivery plans</li><li>Make sound technical decisions on model selection, evaluation methods, and trade offs</li><li>Communicate results, risks, and limitations clearly to stakeholders using dashboards, visualizations, and documentation</li><li>Mentor junior engineers and raise the bar for ML engineering practices at Rapid Labs</li></ul>What We Are Looking ForMust Have<ul><li>Seven or more years of experience across machine learning engineering, data engineering, and production systems</li><li>At least five years of hands on experience delivering end to end machine learning solutions in production</li><li>Strong depth in classical machine learning and applied statistics beyond generative AI focused work</li><li>Solid understanding of evaluation techniques, validation strategies, bias variance trade offs, and failure modes</li><li>Advanced Python skills for production ML including clean code, testing, packaging, and performance tuning</li><li>Strong SQL skills and experience designing data models for analytics and ML</li><li>Three or more years of cloud experience with GCP preferred and AWS acceptable</li><li>Hands on experience with BigQuery, Cloud Storage, Dataflow or Apache Beam, Airflow or Cloud Composer, and containerized deployments using Docker and Kubernetes or managed equivalents</li><li>Experience operationalizing ML using tools such as MLflow, CI CD pipelines, workflow orchestration, and monitoring systems</li><li>Proven ability to monitor, debug, and improve models after deployment including drift detection and retraining</li><li>Strong problem solving skills with the ability to translate business needs into ML outcomes</li><li>Clear and confident communication skills with both technical and non-technical stakeholders</li><li>Experience working with cross functional teams including engineering, operations, and product</li></ul>Nice to Have<ul><li>Experience in manufacturing, industrial systems, or supply chain domains</li><li>Ownership of a technical roadmap or AI product lifecycle from planning to delivery</li><li>GCP or AI and ML related professional certifications</li><li>Background in consulting or client facing roles</li><li>Some exposure to GenAI or LLMs is welcome when combined with strong classical ML fundamentals, with LLMs used as supporting components rather than the core focus</li></ul>Salary &amp; Benefits<ul><li>Competitive salary and fringe benefits.</li><li>Paid Time off</li><li>Leaves encashment</li><li>EOBI</li><li>Professional Development</li><li>Career Advancement</li><li>Team Building Activities</li><li>Innovative Work Environment</li><li>Work-Life Balance</li><li>Company trips</li><li>Wellness Programs</li><li>Performance based promotion</li></ul>Location: Lahore Office, Islamabad Office, or Remote (Flexible)This role offers flexibility in how you work. Candidates may choose to join our Lahore office, work from our Islamabad office, or operate fully remote, depending on what works best for them.Office Hours: 05:00 PM to 02:00 AM (Monday to Friday) Job Type: Full-timeApplication Question(s):<ul><li>What is your current salary?</li><li>What is your expected salary?</li><li>What is the duration of your notice period in days?</li><li>Do you have 7+ years of experience as a Senior Full Stack Machine Learning Engineer?</li></ul>Experience:<ul><li>Senior Full Stack Machine Learning Engineer: 7 years (Preferred)</li></ul>Language:<ul><li>English fluently (Preferred)</li></ul>Work Location: In person

Senior Full Stack Machine Learning Engineer

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